AZW SEi
Geekbench AI Score
2314
Single Precision Score
2179
Half Precision Score
4932
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 05:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-1240P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SEi |
| Motherboard | AZW SEi |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1284
238.8 IPS |
|
|
Image Classification (HP)
|
100% |
1336
248.5 IPS |
|
|
Image Classification (Q)
|
100% |
3638
676.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3678
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3009
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2789
3.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
8509
9.97 IPS |
|
|
Object Detection (SP)
|
100% |
1268
100.6 IPS |
|
|
Object Detection (HP)
|
100% |
1261
100.0 IPS |
|
|
Object Detection (Q)
|
88% |
3144
252.1 IPS |
|
|
Face Detection (SP)
|
100% |
3761
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
3719
44.2 IPS |
|
|
Face Detection (Q)
|
100% |
7396
87.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3559
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3610
27.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
8099
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8368
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8329
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21117
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1727
63.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4461
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
1468
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (Q)
|
92% |
2543
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1495
25.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1658
28.6 IPS |
